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Education

University of Missouri, Columbia, 2005

Biography

Dr. Jing Cao is a Professor of Statistics and Chair in the Department of Statistics and Data Science at Ë®¶à¶àµ¼º½. Her research areas include clinical trial design, Bayesian methods and their applications, and machine learning in text analysis. Specifically, she is interested in clinical designs with complicated setups, arbitrary correlation structures, missing data, historical controls, and cost constraints. Dr. Cao has years of experience developing Bayesian models with application to psychological and behavioral science studies, high throughput data analysis, spatial-temporal analysis of longitudinal and survival data. Her most recent research direction is to combine statistical learning with machine learning algorithms in sentiment analysis and electronic health record data analysis. Her research has been supported by fundings from NIH, NSF, Patient-Centered Outcomes Research Institute, and Institute of Education Sciences. Dr. Cao is a fellow of American Statistical Association and a fellow of American Association of Wine Economists.

Teaching

STAT 2331: Introduction to Statistical Methods
STAT 3300: Applied Statistical Methods
STAT 3366: Applied Regression Analysis and Data Visualization
STAT 4399: Statistical Science in Practice
STAT 6345: Linear Regression
STAT 6390: Bayesian Inference
STAT 6391: Advanced Bayesian Modeling
STAT 6395: Data Visualization in R
STAT 6395: Introduction to Bayesian Statistical Learning

Research Interests

Clinical trial design and analysis, Bayesian methods and applications, Machine learning and text mining